EBSSPA: Efficient Deep Learning Model for Enhancing Blockchain Scalability and Security Through Fusion Pattern Analysis by Anuradha Hiwase, Amit Pimpalkar, Barkha Dange, Nitin Thakre, Sakshi Jaiswal, Tejaswini Mankar

“…By analysing time series data and dealing with long-term dependencies, the model uses RNNs and LSTMs to enable the strategic introduction of the model to predict and control network loads. …”
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Applying machine learning to input–output analysis: a new perspective on identifying key Australian industries by Ali Faridzad

“…The first approach utilizes traditional linkages, while the second approach employs machine learning methods. Data come from the OECD database for input–output tables spanning the years 2003, 2008, 2013, and 2018. …”
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Home Based Learning (HBL) in higher education post COVID: an analysis from staff and student perspectives by Neil Connon, Elliot Pirie

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Can digital economy improve urban ecological development? evidence based on double machine learning analysis by Yuchen Jiang, Lei Li, Yue Xu

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Analysis of The Views of Students At MAN 2 Jambi City on Social Media In Influencing the Learning Process in Schools by M. Rizki Al-fiqri, Ojto Disyah Repino Putra, Putra Halilintar, Slamet Maryadi, Rananda Rizki Kurniawan, Randi Ramadana

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BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs by Youngbin Kim, Kunlun Wang, Roberta I. Lock, Trevor R. Nash, Sharon Fleischer, Bryan Z. Wang, Barry M. Fine, Gordana Vunjak-Novakovic

“…We then demonstrate that the data acquired by our automatic acquisition pipeline can be further harnessed for machine learning (ML) analysis to phenotype a disease model of restrictive cardiomyopathy and profile cardioactive drug functional response. …”
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Machine learning-based predictive model for acute pancreatitis-associated lung injury: a retrospective analysis by Zhaohui Du, Qiaoling Ying, Yisen Yang, Huicong Ma, Hongchang Zhao, Jie Yang, Zhenjie Wang, Chuanming Zheng, Shurui Wang, Qiang Tang

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Correlations among Personality Traits, Coping Skills, and Competitiveness in Online Learning Environments: A Path Analysis by Rouhoddin Heydari, Davood Taghvaei, Abdoljavad Ahmadi, Mohammadmahdi Jahangiri

“…Data analysis was conducted using LISREL software version 8.80.Results: The findings indicate that several personality traits and coping strategies are significantly correlated with competitiveness. …”
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Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis by Doreen Phiri, Frank Makowa, Vivi Leona Amelia, Yohane Vincent Abero Phiri, Lindelwa Portia Dlamini, Min-Huey Chung

“…Traditional diagnostic methods have limitations. Analyzing textual data from social media provides new insights into predicting depression using machine learning. …”
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The noble character-based learning in the ornaments of Kraton Yogyakarta: A visual analysis of Javanese cultural heritage by Dwi Retno Sri Ambarwati, Tjetjep Rohendi Rohidi, Syakir Syakir, Muhammad Ibnan Syarif, Hajar Pamadhi

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Analysis and Prediction of Traffic Conditions Using Machine Learning Models on Ikorodu Road in Lagos State, Nigeria by Udeme Udo Imoh, Majid Movahedi Rad

“…This study focused on analyzing and predicting traffic conditions on Ikorodu Road in Lagos State. The analysis involved an examination of historical traffic data, specifically focusing on daily and hourly traffic volumes. …”
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Transfer learning for predicting source terms of principal component transport in chemically reactive flow by Ki Sung Jung, Tarek Echekki, Jacqueline H. Chen, Mohammad Khalil

“…Transfer learning has been highlighted as a promising framework to increase the accuracy of the data-driven model in the case of data sparsity, specifically by leveraging pretrained knowledge to the training of the target model. …”
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Advancing Maritime Safety: A Literature Review on Machine Learning and Multi-Criteria Analysis in PSC Inspections by Zlatko Boko, Ivica Skoko, Zaloa Sanchez Varela, Vice Milin

“…This literature review provides a structured quantitative analysis of existing research on the application of machine learning models (MLMs) and multi-criteria decision-making methods (MCDM) in the context of port state control (PSC). …”
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Naturalistic Analysis of the Use of Setting in the Ande-Ande Lumut Folktale as a Medium for Learning Literature in Schools by Nurulanningsih Nurulanningsih, Septi Sri Wahyuni, Sonia Castro Cuba Sayc, Rubilyn G Barrios

“…Data collection involved participant observation, in-depth interviews with students and teachers, and analysis of students’ reflections. …”
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Analysis of Student Concept Mastery Using the Project Based Learning Model Seen from Parents' Work by Misbah, Alfajri Adha, Gianluigi Segalerba, Nova Kafrita

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Performance of deep learning models for automatic histopathological grading of meningiomas: a systematic review and meta-analysis by Parsia Noori Mirtaheri, Matin Akhbari, Farnaz Najafi, Hoda Mehrabi, Ali Babapour, Zahra Rahimian, Amirhossein Rigi, Saeid Rahbarbaghbani, Hesam Mobaraki, Sanaz Masoumi, Danial Nouri, Seyedeh-Tarlan Mirzohreh, Seyyed Kiarash Sadat Rafiei, Mahsa Asadi Anar, Zahra Golkar, Yasaman Asadollah Salmanpour, Ali Vesali Mahmoud, Mohammad Sadra Gholami Chahkand, Maryam Khodaei

“…Traditional MRI-based assessments are often insufficient to distinguish between low- and high-grade meningiomas reliably. Deep learning (DL) models have emerged as promising tools for automated histopathological grading using imaging data. …”
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Evaluating the efficacy of bioelectrical impedance analysis using machine learning models for the classification of goats exposed to Haemonchosis by Aftab Siddique, Phaneendra Batchu, Arshad Shaik, Priyanka Gurrapu, Tharun Tej Erukulla, Cornileus Ellington, Andrea L. Rubio Villa, Davia Brown, Ajit Mahapatra, Sudhanshu Panda, Eric Morgan, Jan Van Wyk, David Shapiro-Ilan, Govind Kannan, Thomas H. Terrill

“…The study employed several machines learning models, including Support Vector Machines (SVM), Backpropagation Neural Networks (BPNN), k-Nearest Neighbors (K-NN), XGBoost, and Keras deep learning models to classify goats based on their bioelectrical properties. …”
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Analysis Of The Use Of Smart TV as A Media For Arabic Learning At Insan Amanah Junior High School by Alvian Izzul Fikri, Nur Hasaniyah, Abdul Muntaqim Al-Anshory

“…Smart TVs, being modern technological devices, offer various interactive features that can be leveraged to support Arabic language learning. Data for this study was collected through direct observation, interviews with teachers and students, and analysis of documentation related to the use of Smart TV in teaching and learning activities. …”
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Islamic Cultural History Learning Media Based on Cyberspace: An Analysis of Implementation, Challenges, and Opportunities in Madrasah Aliyah by Fitri Puan, Edi Purwanto

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Analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in osteoarthritis by integrating bioinformatics and machine learning by Tianyang Li, Jinpeng Wei, Hua Wu, Chen Chen

“…The potential mechanisms of these genes were revealed by multiple gene enrichment analysis algorithms. Machine learning methods were utilized to identify exosome-related differential genes (ERDEGs) with highly correlated OA features (Hub OA-ERDEGs). …”
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